INFORMATIK 2021

T2 Deep Learning Workflows for Biomedial Signal Data - a Practical Example
27.09, 14:30–18:00 (Europe/Berlin), KI: Room David Hubel
Sprache: English

In this half-day tutorial, we'll use real-world ECG datasets to demonstrate deep learning approaches in MATLAB to show sequence-to-sequence classification frameworks for 1-D signals. The target audience of this tutorial are practitioners of artificial intelligence interested in workflow discussions based on hands-on examples. The presented workflows generalize beyond ECG datasets to other types of signals and time-series data. There are no prerequisites other than general knowledge of deep learning methodologies.


Christoph Stockhammer and Mihaela Jarema